The Bermuda Triangle of Leadership in the AI Era? Emerging Trust Implications From “Two-Leader-Situations” in the Eyes of Employees Schafheitle, Simon Weibel , Antoinette Rickert, Alice 2020-12-24T20:08:37Z 2020-12-24T20:08:37Z 2021-01-05
dc.description.abstract Artificial Intelligence (AI) and machine learning (ML) algorithms are changing the work in many ways. One hitherto little-studied area is how these technologies are impacting leader-employee relationships, particularly employees’ trust relationships in their “flesh-and-blood” leaders. In this paper, we discuss how algorithms change the nature of leadership when some leadership functions become automated. As a consequence, employees will often find themselves in a “two-leader-situation” with resulting frictions, that create novel leadership focus areas. Three situations, in particular, can be trust-problematic in the eyes of followers: the triad relationship might (1) make responsibilities blur, (2) create conflicting decisions of human leaders and algorithms, and (3) make employees’ voice unheard. We argue that these situations can undermine employee perceptions of leaders' trustworthiness as followers might start to question a leaders’ ability, benevolence, and integrity if leaders do not understand these novel situations.
dc.format.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2021.665
dc.identifier.isbn 978-0-9981331-4-0
dc.language.iso English
dc.relation.ispartof Proceedings of the 54th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.subject Advances in Trust Research: Artificial Intelligence in Organizations
dc.subject algorithms as leaders
dc.subject automation of leadership
dc.subject employee trust
dc.subject responsibility diffusion
dc.subject two-leader situations
dc.title The Bermuda Triangle of Leadership in the AI Era? Emerging Trust Implications From “Two-Leader-Situations” in the Eyes of Employees
prism.startingpage 5473
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